Fatigue Life Simulation and Analysis of Aluminum Alloy Sheet Self-piercing Riveting
The fatigue life prediction model of self-piecing riveting components of aluminum alloy is established and the effects of roughness and residual stress on fatigue life are analyzed by the model. Finite element software ABAQUS and fatigue analysis software FE-SAFE are used to study the effects of rou...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Gruppo Italiano Frattura
2020-07-01
|
| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://www.fracturae.com/index.php/fis/article/view/2755/3002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841563023094841344 |
|---|---|
| author | Qingchun Zheng Naixin Wang Peihao Zhu Jingna Liu Wenpeng Ma |
| author_facet | Qingchun Zheng Naixin Wang Peihao Zhu Jingna Liu Wenpeng Ma |
| author_sort | Qingchun Zheng |
| collection | DOAJ |
| description | The fatigue life prediction model of self-piecing riveting components of aluminum alloy is established and the effects of roughness and residual stress on fatigue life are analyzed by the model. Finite element software ABAQUS and fatigue analysis software FE-SAFE are used to study the effects of roughness and residual stress on the fatigue life of self-piecing riveting components through finite element simulation and mathematical statistics multivariate orthogonal regression experiment. The quantitative relations between fatigue life and three variables (roughness, residual stress and maximum stress) are fitted, and the variation trend of fatigue life with roughness and residual stress is obtained. The order of influence of roughness, residual stress, maximum stress and two interactions on fatigue life is as follows: residual stress, interaction between roughness and residual stress, roughness. When the maximum stress is fixed, the fatigue life increases with the decrease of residual stress with a certain roughness, and the fatigue life decreases with the increase of roughness with a certain residual stress. The average error between the fatigue experiment results and the simulation results is 9.27%, which proves that the simulation results are reliable. |
| format | Article |
| id | doaj-art-c3a10f1fc04440d3951b49aedc02dac8 |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2020-07-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-c3a10f1fc04440d3951b49aedc02dac82025-01-03T00:27:29ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932020-07-01145314115110.3221/IGF-ESIS.53.1210.3221/IGF-ESIS.53.12Fatigue Life Simulation and Analysis of Aluminum Alloy Sheet Self-piercing RivetingQingchun ZhengNaixin WangPeihao ZhuJingna LiuWenpeng MaThe fatigue life prediction model of self-piecing riveting components of aluminum alloy is established and the effects of roughness and residual stress on fatigue life are analyzed by the model. Finite element software ABAQUS and fatigue analysis software FE-SAFE are used to study the effects of roughness and residual stress on the fatigue life of self-piecing riveting components through finite element simulation and mathematical statistics multivariate orthogonal regression experiment. The quantitative relations between fatigue life and three variables (roughness, residual stress and maximum stress) are fitted, and the variation trend of fatigue life with roughness and residual stress is obtained. The order of influence of roughness, residual stress, maximum stress and two interactions on fatigue life is as follows: residual stress, interaction between roughness and residual stress, roughness. When the maximum stress is fixed, the fatigue life increases with the decrease of residual stress with a certain roughness, and the fatigue life decreases with the increase of roughness with a certain residual stress. The average error between the fatigue experiment results and the simulation results is 9.27%, which proves that the simulation results are reliable.https://www.fracturae.com/index.php/fis/article/view/2755/3002aluminum alloyself-piecing rivetingsurface roughnessresidual stressfatigue lifefe-safe |
| spellingShingle | Qingchun Zheng Naixin Wang Peihao Zhu Jingna Liu Wenpeng Ma Fatigue Life Simulation and Analysis of Aluminum Alloy Sheet Self-piercing Riveting Fracture and Structural Integrity aluminum alloy self-piecing riveting surface roughness residual stress fatigue life fe-safe |
| title | Fatigue Life Simulation and Analysis of Aluminum Alloy Sheet Self-piercing Riveting |
| title_full | Fatigue Life Simulation and Analysis of Aluminum Alloy Sheet Self-piercing Riveting |
| title_fullStr | Fatigue Life Simulation and Analysis of Aluminum Alloy Sheet Self-piercing Riveting |
| title_full_unstemmed | Fatigue Life Simulation and Analysis of Aluminum Alloy Sheet Self-piercing Riveting |
| title_short | Fatigue Life Simulation and Analysis of Aluminum Alloy Sheet Self-piercing Riveting |
| title_sort | fatigue life simulation and analysis of aluminum alloy sheet self piercing riveting |
| topic | aluminum alloy self-piecing riveting surface roughness residual stress fatigue life fe-safe |
| url | https://www.fracturae.com/index.php/fis/article/view/2755/3002 |
| work_keys_str_mv | AT qingchunzheng fatiguelifesimulationandanalysisofaluminumalloysheetselfpiercingriveting AT naixinwang fatiguelifesimulationandanalysisofaluminumalloysheetselfpiercingriveting AT peihaozhu fatiguelifesimulationandanalysisofaluminumalloysheetselfpiercingriveting AT jingnaliu fatiguelifesimulationandanalysisofaluminumalloysheetselfpiercingriveting AT wenpengma fatiguelifesimulationandanalysisofaluminumalloysheetselfpiercingriveting |